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zhao wang dissertation final.pdf (4.16 MB)

ETD Abstract Container

Abstract Header

Intravascular Optical Coherence Tomography Image Analysis

Wang, Zhao
http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682

Abstract Details

2013, Doctor of Philosophy, Case Western Reserve University, Biomedical Engineering.
Coronary artery disease (CAD) is the leading cause of death in the world. Most acute coronary events such as heart attacks and sudden deaths are due to the rupture of atherosclerotic plaques inside the arteries. Intravascular Optical Coherence Tomography (IVOCT), a high resolution (10-20µm) imaging modality that performs cross-sectional imaging of coronary arteries by measuring echoes of backscattered light, is rapidly becoming a promising imaging modality for diagnosis of CAD. Compared to alternative technologies such as intravascular ultrasound (IVUS), IVOCT with better resolution allows characterization of atherosclerotic plaques and evaluation of coronary stenting with unprecendented details. Currently, analysis of OCT images has been typically conducted manually in an extremely time-consuming manner. The aim of this PhD dissertation is to develop advanced image processing algorithms and software to automate the task and thereby reduce the image analysis time drastically. In this dissertation, we developed image analysis algorithms for a variety of IVOCT applications, including: (1) 3-D lumen boundary segmentation, (2) Guide wire artifact segmentation, (3) Automated calibration of IVOCT images, (4) Volumetric quantification of fibrous caps, (5) Automated segmentation of calcified plaques, (6) Automated quantification of macrophages and (7) Automated stent analysis, covering almost all the essential tasks performed in the Cardiovascular Imaging Core Laboratories (Core Lab). The algorithms we have developed have been extensively validated using a large number of data sets, and are robust to be used for real world clinical data analysis. Furthermore, we developed the prototype software OCTivat (intravascular OCT image visualization and analysis toolkit) for IVOCT image visualization and analysis, and it is being used by the interventional cardiologists in the Core Lab at the University Hospitals Case Medical Center. These image analysis methods, as well as OCTivat, can reduce the IVOCT image analysis time from tens of hours down to minutes. This may enable large clinical trial analysis and real-time feedback during clinical procedures, and may potentially improve patient care.
Andrew Rollins (Advisor)
David Wilson (Committee Member)
Marco Costa (Committee Member)
Guoqiang(GQ) Zhang (Committee Member)
137 p.
Biomedical Engineering; Information Technology; Optics
coronary artery disease; optical coherence tomography; image analysis; image processing; atherosclerotic plaques; stents

Recommended Citations

Citations

  • Wang, Z. (2013). Intravascular Optical Coherence Tomography Image Analysis [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682

    APA Style (7th edition)

  • Wang, Zhao. Intravascular Optical Coherence Tomography Image Analysis. 2013. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682.

    MLA Style (8th edition)

  • Wang, Zhao. "Intravascular Optical Coherence Tomography Image Analysis." Doctoral dissertation, Case Western Reserve University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682

    Chicago Manual of Style (17th edition)

case1364673682
1,892
© 2013, some rights reserved.Creative Commons License Intravascular Optical Coherence Tomography Image Analysis by Zhao Wang is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.